Elements of information theory
Elements of information theory
Distributed Detection and Data Fusion
Distributed Detection and Data Fusion
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Type-Based Random Access for Distributed Detection Over Multiaccess Fading Channels
IEEE Transactions on Signal Processing
Type-Based Decentralized Detection in Wireless Sensor Networks
IEEE Transactions on Signal Processing
Channel aware decision fusion in wireless sensor networks
IEEE Transactions on Signal Processing
Fusion of decisions transmitted over Rayleigh fading channels in wireless sensor networks
IEEE Transactions on Signal Processing
Asymptotic Detection Performance of Type-Based Multiple Access Over Multiaccess Fading Channels
IEEE Transactions on Signal Processing
Distributed Detection in Wireless Sensor Networks Using A Multiple Access Channel
IEEE Transactions on Signal Processing
Fading channels: information-theoretic and communications aspects
IEEE Transactions on Information Theory
Optimal bi-level quantization of i.i.d. sensor observations for binary hypothesis testing
IEEE Transactions on Information Theory
IEEE Communications Magazine
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In order to derive optimal/suboptimal fusion rules, in general, it is assumed that statistical properties of sensors' decisions are known to a fusion center in distributed detection for wireless sensor networks. However, if sensors are deployed to unknown environments, these statistical properties may not be available in advance and should be estimated by the fusion center. To address this problem, in this paper, we study unsupervised learning to estimate the values of the parameters that characterize statistical properties for wireless sensor networks employing a bandwidth efficient multiple access scheme, e.g., the type-based multiple access (TBMA), over Rayleigh fading channels (which would be realistic channels when there is no line-of-sight between sensors and fusion center). Through simulations, we can show that unsupervised learning can be used in deriving decision rules at the fusion center from decisions transmitted by sensors over wireless fading channels.